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20242026
most citedHow LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts

4 citations · 11 across the 10 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.SE2026

CAMGen: A Core Change-Aware Multi-View Framework for Commit Message Generation

Bo Xiong, Weisheng Chen, Zongen Ren +5

Commit messages help developers understand code changes and support software maintenance. Recent approaches use repository context to improve commit message generation (CMG) with l…

cs.SE2026

UML Class Diagram Evaluation and Repair Strategies based on LLMs

Jie Liang, Peng Liang, Chong Wang

UML class diagrams are a crucial tool for defining the structure of software systems, but designing accurate and comprehensive class diagrams is a challenging task. Traditionally,…

cs.SE2026

LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study

Zongen Ren, Wei Shi, Bo Xiong +2

Commit messages help developers understand code changes, support collaboration, and improve long-term maintenance. However, the use of issue information alone as the external conte…

cs.SE2026

CoRaCommit: A VS Code Extension for Commit Message Generation with Exemplar Retrieval

Chaoran Cai, Bo Xiong, Chong Wang +2

Commit messages are essential textual artifacts that describe the intent behind code changes, and play a critical role in version control, code review, and historical tracking. How…

cs.SE2026

Assessing Language Models for Salient Class Identification

Bo Xiong, Chaoran Cai, Zongen Ren +3

Code review requires reviewers to understand the core intent of code changes, which becomes difficult when a commit modifies multiple classes. In such commits, one or more primaril…